Operations | Monitoring | ITSM | DevOps | Cloud

What MSPs Need to Know About Our Partner Program

MSPs using CloudHealth are in for an abrupt start to 2024. VMware, which acquired CloudHealth, is ending its partner programs. Instead, they’re rolling out the exclusive Partner Program, starting from February 5, 2024. The switch will impact solution providers, resellers, and cloud services partners. With this new selective partner program, MSPs face fresh challenges in meeting the latest standards.

Mastering Internet Performance Monitoring: A Best Practices Series

The digital landscape has dramatically transformed since the world’s first website went live at CERN on August 6, 1991. What began as a single webpage has exploded into a sprawling, intricate web of interconnected services and systems. The modern web is mind-bogglingly vast, complex, and, when it works, beautiful in its precision and technological harmony.

StatusGator Alternatives in 2024

In this realm of cloud and SaaS service uptime, StatusGator offers unparalleled monitoring of nearly 3,000 services. This article delves into the alternatives to StatusGator in 2024, but first, let’s understand what sets StatusGator apart. Unlike typical status page aggregators, StatusGator offers advanced status aggregation with unique capabilities. StatusGator collects the status of almost 3,000 services from official, published, status pages to gain as much information as possible.

Q&A: What IT Automation Best Practices Should You Know Right Now? - Part 2

With a limitless load of questions on IT automation and the industry’s biggest trends, Resolve’s “Ask Me Anything (AMA)” session went about tackling them in an all-new way. We threw out the preparation, we threw out the scripts, and we asked our community to submit the questions that matter most to them and their organizations. Part of our leadership team took the hot seat and provided answers in real time, sans dress rehearsal.

Make Moves Without Making Your Data Move

How much of the data you collect is actually getting analyzed? Most organizations are focused on trying not to drown in the seas of data generated daily. A small subset gets analyzed, but the rest usually gets dumped into a bucket or blob storage. “Oh, we’ll get back to it,” thinks every well-intentioned analyst as they watch data streams get sent away, never to be seen again.

Collecting OpenShift container logs using Red Hat's OpenShift Logging Operator

This blog explores a possible approach to collecting and formatting OpenShift Container Platform logs and audit logs with Red Hat OpenShift Logging Operator. We recommend using Elastic® Agent for the best possible experience! We will also show how to format the logs to Elastic Common Schema (ECS) for the best experience viewing, searching, and visualizing your logs. All examples in this blog are based on OpenShift 4.14.

Incident Response Plans: The Complete Guide To Creating & Maintaining IRPs

Speedily minimizing the negative impact of an information security incident is a fundamental element of information security management. The risks — loss of credibility in the eyes of users and other stakeholders, loss of business revenue and critical data, potential regulatory penalties — can significantly jeopardize your organization’s mission and objectives.

The Role of Electronic Evidence in Modern Criminal Defense: A Comprehensive Guide

In the digital age, electronic evidence has increasingly become an important part of criminal defense. In this era of technology, electronic evidence has taken on a central role in the legal world. In this guide, we will explain the role and significance of electronic evidence in modern criminal defense.

Challenges & limitations of LLM fine-tuning

Large Language Models (LLMs) like GPT-3 have revolutionized the field of artificial intelligence, offering unprecedented capabilities in natural language processing. Fine-tuning these models to specific tasks or datasets can enhance their performance. However, this process presents unique challenges and limitations that must be addressed. This article explores the intricacies of LLM fine-tuning, shedding light on the obstacles and constraints faced in this advanced AI domain.